Temporal and morphological differences in post-embryonic differentiation of the mushroom bodies in the brain of workers, queens, and drones of Apis mellifera (Hymenoptera, Apidae)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

GRAMMAR and COMMUNICATION IN PORTUGUESE AS A FOREIGN LANGUAGE A Study in the Context of Teletandem Interactions

This paper presents a study about the role of grammar in on-line interactions conducted in Portuguese and in English, between Brazilian and English-speaking interactants, with the aim of teaching Portuguese as a foreign language (PFL). The interactions occurred by means of chat and the MSN Messenger, and generated audio and video data for language analysis. Grammar is dealt with from two perspectives, an inductive and a deductive approach, so as to investigate the relevance of systematization of grammar rules in the process of learning PFL in teletandem interactions.

A survey of the entomofauna associated with the inflorescences of pejibaye (Arecaceae: Bactris gasipaes Kunth) in the Ribeira Valley, SP, Brazil

A cultura da pupunheira (Bactris gasipaes Kunth) vem se expandindo no Brasil, especialmente no Vale do Ribeira, SP, onde encontra condição edafoclimática compatível à sua produção. Com o objetivo de conhecer os insetos visitantes da inflorescência da pupunheira, foi realizado levantamento em duas áreas de coleção de pupunheiras selecionadas originárias de Yurimaguas, Peru, no - Polo Regional do Vale do Ribeira - APTA/SAA-SP, localizado no Município de Pariquera-açu, SP, e em uma propriedade particular no Município de Registro, SP. Durante o mês de janeiro de 2006 e 2007, foram instaladas armadilhas adesivas entomológicas amarelas em inflorescências de diferentes matrizes de pupunheira logo após a abertura de suas brácteas, as quais foram mantidas durante a antese feminina e masculina e retiradas no término do ciclo, cerca de 72 horas. Efetuou-se a separação, contagem e identificação ao nível de ordem dos 9.743 insetos totais coletados. Verificou-se que os insetos mais frequentes na inflorescência da pupunheira no Vale do Ribeira, SP, pertencem às ordens Diptera, Coleoptera e Hymenoptera.

Particle Competition and Cooperation in Networks for Semi-Supervised Learning with Concept Drift

Concept drift is a problem of increasing importance in machine learning and data mining. Data sets under analysis are no longer only static databases, but also data streams in which concepts and data distributions may not be stable over time. However, most learning algorithms produced so far are based on the assumption that data comes from a fixed distribution, so they are not suitable to handle concept drifts. Moreover, some concept drifts applications requires fast response, which means an algorithm must always be (re) trained with the latest available data. But the process of labeling data is usually expensive and/or time consuming when compared to unlabeled data acquisition, thus only a small fraction of the incoming data may be effectively labeled. Semi-supervised learning methods may help in this scenario, as they use both labeled and unlabeled data in the training process. However, most of them are also based on the assumption that the data is static. Therefore, semi-supervised learning with concept drifts is still an open challenge in machine learning. Recently, a particle competition and cooperation approach was used to realize graph-based semi-supervised learning from static data. In this paper, we extend that approach to handle data streams and concept drift. The result is a passive algorithm using a single classifier, which naturally adapts to concept changes, without any explicit drift detection mechanism. Its built-in mechanisms provide a natural way of learning from new data, gradually forgetting older knowledge as older labeled data items became less influent on the classification of newer data items. Some computer simulation are presented, showing the effectiveness of the proposed method.

Microinjection of histamine into the cerebellar vermis impairs emotional memory consolidation in mice

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Variational studies and replica symmetry breaking in the generalization problem of the binary perceptron

We analyze the average performance of a general class of learning algorithms for the nondeterministic polynomial time complete problem of rule extraction by a binary perceptron. The examples are generated by a rule implemented by a teacher network of similar architecture. A variational approach is used in trying to identify the potential energy that leads to the largest generalization in the thermodynamic limit. We restrict our search to algorithms that always satisfy the binary constraints. A replica symmetric ansatz leads to a learning algorithm which presents a phase transition in violation of an information theoretical bound. Stability analysis shows that this is due to a failure of the replica symmetric ansatz and the first step of replica symmetry breaking (RSB) is studied. The variational method does not determine a unique potential but it allows construction of a class with a unique minimum within each first order valley. Members of this class improve on the performance of Gibbs algorithm but fail to reach the Bayesian limit in the low generalization phase. They even fail to reach the performance of the best binary, an optimal clipping of the barycenter of version space. We find a trade-off between a good low performance and early onset of perfect generalization. Although the RSB may be locally stable we discuss the possibility that it fails to be the correct saddle point globally. ©2000 The American Physical Society.

Achieving educational quality: what schools teach us: learning from Chile's P900 primary schools

Includes bibliography

Investing better in order to invest more. Finance and management of education in Latin America and the Caribbean

Includes bibliography

Learning strategies evaluation in students with attention deficit hyperactivity disorder

This study aim to verify the use of learning strategies in students of the elementary level presenting interdisciplinary diagnosis of attention dei cit hyperactivity disorder (ADHD). Nine students, male gender, attending 3rd to 9th grade level of the elementary level, average age 10 years and 7 months, presenting interdisciplinary diagnosis of attention dei cit hyperactivity disorder (ADHD). h e students were submitted to the application of the Evaluation of Learning Strategies from elementary level – EAVAP-EF – scale, which aimed to evaluate the strategies reported and used by students in situation of study and learning, as follows: cognitive strategies, metacognitive strategies and absence of dysfunctional metacognitive strategies. h e general result at EAVAP-EF scale, showed that students with ADHD reached the percentile 25%, considered as low performance in the use of the learning strategies. For the variable absence of dysfunctional metacognitive strategies, the students presented percentile 30%, percentile 25% for cognitive strategies and 55% for metacognitive strategies. h e results showed that ADHD students do not use ef ectively the learning cognitive and metacognitive strategies and present the use of dysfunctional metacognitive strategies. h ese alterations match with the framework of ADHD because the entry of information, either visual or auditory, showed alterations, derived from inattention, which af ected the learning in classroom situation.

Semi-supervised learning with concept drift using particle dynamics applied to network intrusion detection data

Concept drift, which refers to non stationary learning problems over time, has increasing importance in machine learning and data mining. Many concept drift applications require fast response, which means an algorithm must always be (re)trained with the latest available data. But the process of data labeling is usually expensive and/or time consuming when compared to acquisition of unlabeled data, thus usually only a small fraction of the incoming data may be effectively labeled. Semi-supervised learning methods may help in this scenario, as they use both labeled and unlabeled data in the training process. However, most of them are based on assumptions that the data is static. Therefore, semi-supervised learning with concept drifts is still an open challenging task in machine learning. Recently, a particle competition and cooperation approach has been developed to realize graph-based semi-supervised learning from static data. We have extend that approach to handle data streams and concept drift. The result is a passive algorithm which uses a single classifier approach, naturally adapted to concept changes without any explicit drift detection mechanism. It has built-in mechanisms that provide a natural way of learning from new data, gradually "forgetting" older knowledge as older data items are no longer useful for the classification of newer data items. The proposed algorithm is applied to the KDD Cup 1999 Data of network intrusion, showing its effectiveness.

Colombian results of the interlaboratory quality control exercise 2009 2010

Colombian Reference National Laboratory, GENES LTDA, have organized and coordinated for the past two years (2009 and 2010) the Quality Control Exercise for laboratories undertaking paternity, maternity and forensic tests with DNA markers. Twenty-two laboratories have participated in 2009, increasing the number to 27 in 2010. Laboratories in Colombia, Brazil, Ecuador, Peru, Dominican Republic and Panama have participated in these exercises. There have been some similarities in the two controls: A practical exercise, three blood samples on FTA cards were sent to each participating laboratory to be genotyped for DNA markers using the routine methodologies in their laboratories; theoretical exercises including optional and obligatory cases. For the theoretical exercises, the participating laboratories should calculate the partial and final PI or BRI (Biological Relationship Index or Paternity Index). Forty-nine and 52 markers were under consensus for 2009 and 2010, respectively, distributed in autosomal, Y and X chromosomes STR. With respect to 2008, 12 and 15 additional markers were under consensus for 2009 and 2010, respectively. The rate of reporting error was 2.9% in 2009 while in 2010, 4.7% error was reported. The Proficiency Test conducted through the Colombian National Reference Laboratory has become a useful tool for quality assurance of all Colombian laboratories and some of Latin America that do DNA testing to establish biological relationships and an excellent opportunity for ongoing training of experts from the region.

Undergraduate Scholarship in the College of Arts and Sciences 2004 Book of Abstracts

In his work entitled The Advancement of Learning (1605), Francis Bacon expresses the need for students and their teachers to push beyond current knowledge by testing accepted theories, developing new paradigms, and discovering new information. The abstracts in this booklet are clear examples of how students and faculty in the College of Arts and Sciences are advancing knowledge in a variety of disciplines. From the analysis of particular proteins to the examination of various literary themes, the students whose scholarly endeavors are represented in this booklet pursued research projects that have explored new ideas; and their teachers have helped them to achieve their goals by providing expert guidance in the field of study, by challenging students to excel, and by encouraging them as they developed their ideas. Students and faculty should be very proud of the work reflected in these abstracts. These individual efforts and collaborations reveal what is best about Winthrop University as a learning community.